Big Data. Big Decisions
InformationWeek
Special Coverage Series


Android Warning: 50% Of Devices Need Patching

Blame carriers for slow or nonexistent patches, even as the number of new, malicious Android apps has increased 41 times since last year.

Android mobile device users beware: The volume of malware targeting Android devices, according to a new study, has increased by a factor of 41 from less than a year ago. Alarmingly, new research also finds that more than half of all Android devices sport unpatched vulnerabilities, owing to device manufacturers and carriers failing to issue timely patches for devices that consumers have already purchased.

The discovery that more than 50% of Android devices have unpatched vulnerabilities is based on findings generated by the free X-Ray For Android app, made by Duo Security, which is a startup firm that's received funding from the Defense Advanced Research Projects Agency (DARPA). "The stat is based on over 20,000 users who downloaded and ran the X-Ray mobile application on their device, and the current global distribution of Android versions," said Jon Oberheide, CTO of Duo Security, via email.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"Yes, it's a scary number, but it exemplifies how important expedient patching is to mobile security and how poorly the industry--carriers, device manufacturers, etc.--has performed thus far," said Oberheide in a related blog post.

[ Learn more Android app troubles. See Android App Piracy Leads Feds To Seize Websites. ]

Oberheide plans to detail his findings in full Friday at the United Summit conference in San Francisco, and said that unfortunately, the actual quantity of unpatched Android devices may actually exceed 50%. "We feel this is actually a fairly conservative estimate based on our preliminary results, the current set of vulnerabilities detected by X-Ray, and the current distribution of Android versions globally," he said.

The research from Duo Security squares with a study conducted last year by Bit9, which painstakingly calculated--since much of the related data was not easily accessible--how long it took carriers to issue updates for the top 20 smartphones on the market. Ultimately, it found that only outdated and insecure versions of the Android operating system were available for 56% of the top 20 smartphones, owing to carriers and manufacturers failing to issue timely updates.

In other words, little appears to have changed in carriers' patching practices over the past year. The security result, however, is that people who've purchased Android devices are being put at risk, because attackers can create malware that targets known vulnerabilities that are now present on millions of devices.

On a related note, as of September 2012, security firm Sophos said it's seen a 41-time increase in the number of new, malicious applications targeting Android devices, compared with all of 2011. "Interestingly, the Andr/Boxer family accounts for almost half of the newly discovered samples," said Vanja Svajcer, a principal virus researcher at SophosLabs, in a blog post. "Boxer is ... SMS toll-fraud malware, specifically targeting Eastern European markets so it does not pose a huge threat to the users in the rest of the world." Briefly, SMS toll-fraud apps make infected devices send messages to premium-rate phone numbers, thus draining a user's smartphone account and enriching attackers.

But when it comes to the malware that's actually been detected on Android devices, Svajcer said that in terms of quantity, the two most-seen infections--accounting for nearly half of all Android malware or "junkware" discovered in the wild--aren't SMS toll-fraud apps, but rather what he called "potentially unwanted applications."

"The most reported one, PJApps, is a detection for applications cracked and served through an alternative market app called 'Black Market,'" he said. "The Black Market application was, for a long time, hosted on Google Play before it was removed, indicating that the Google Play vetting policy could be improved." The second-most-detected app, meanwhile, was NewYearL, which he said is used in "applications that bundle an aggressive advertising framework, Airpush." According to the Airpush website, its Android-only ad network interfaces with 40,000 apps and 2,000 advertisers.

But which advertising networks are legitimate, which count as pushy, and which ones cross a clear privacy line by collecting excessive information on users, or break good-behavior guidelines by adding new notification bars to devices, creating dedicated desktop icons or shortcuts, or resetting default homepages to advertiser-selected sites? Answering that question today isn't always easy, although some dedicated Android adware-detection apps can help.

Google, however, now appears to be taking aim at the problem, via new advertising-related policies for developers, which the company recently distributed to all registered developers to address "ad behavior in apps."

"First, we make it clear that ads in your app must follow the same rules as the app itself," said Google. "Also, it is important to us that ads don't negatively affect the experience by deceiving consumers or using disruptive behavior such as obstructing access to apps and interfering with other ads."

Still, will the changes actually cut down on the prevalence of Android adware? "The policy change is certainly welcome and reflects our opinion that aggressive advertising degrades the user experience of the platform," said Svajcer at Sophos. But he said it remains to be seen how well Google will be able to enforce these policy changes for apps distributed via Google Play, which is Google's official app market.

A Google spokesman didn't immediately respond to an emailed request for comment about how the company plans to enforce the new ad-behavior app guidelines.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.